TSNE plots of the data.





Remove bad quality cluster 1 from the data.
data_cleaned <- SubsetData(data, cells.use=rownames(data@meta.data)[data@meta.data$res.0.5 != 1])
TSNEPlot(data_cleaned, group.by='res.0.5', pt.size=0.1)
Save the cleaned up Seurat object to run preprocessing again (new PCA, clustering and tSNE).
#saveRDS(data_cleaned, 'output/10x-180831')
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